Classification Of Skin Lesions By Topological Data Analysis Alongside
With Neural Network
- Naiereh Elyasi ,
- mehdi hosseini moghadam
Abstract
In this paper we use TDA mapper alongside with deep convolutional neural
networks in the classification of 7 major skin diseases. First we apply
kepler mapper with neural network as one of its filter steps to classify
the dataset HAM10000. Mapper visualizes the classification result by a
simplicial complex, where neural network can not do this alone, but as a
filter step neural network helps to classify data better. Furthermore we
apply TDA mapper and persistent homology to understand the weights of
layers of mobilenet network in different training epochs of HAM10000.
Also we use persistent diagrams to visualize the results of analysis of
layers of mobilenet network.